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distributed systems engineer

Uber

<div>
 
 About The Role
 
 
 
 Uber is looking for a Software Engineer to join our Matching Platform team. This team sits at the core of Uber's real-time marketplace, ensuring that riders and drivers are matched efficiently, fairly, and at scale.
 
 
 Matching is one of Uber's most complex and impactful engineering problems, requiring expertise in high-scale distributed systems, real-time decision-making, and machine learning infrastructure. As a Senior Engineer, you'll play a key role in evolving our matching architecture, improving system efficiency, and enabling Uber's next-generation ML-powered matching capabilities. This is an opportunity to work on one of Uber's most business-critical domains with massive global impact.
 
 
 
 Some Of The Problems You'll Be Working On Include
 
 
 
 <ul>
 <li>
 Building a highly scalable matching platform - handling millions of ride requests per second with ultra-low latency.
 </li>
 <li>
 Designing extensible architectures - creating a modular and flexible platform that allows new product innovations without complex rewrites.
 </li>
 <li>
 Evolving the ML platform for matching - enabling real-time inference, model deployment, and experimentation at scale.
 
 
 </li>
 </ul>
 
 What The Candidate Will Do
 
 
 
 <ul>
 <li>
 Build and scale a low-latency platform powering millions of real-time match decisions per second
 </li>
 <li>
 Design modular systems that accelerate product innovation without rework
 </li>
 <li>
 Optimize for fairness, efficiency, and marketplace health at global scale
 </li>
 <li>
 Collaborate across product, infra, and ML teams to deliver business-critical impact
 
 
 </li>
 </ul>
 
 Basic Qualifications
 
 
 
 <ul>
 <li>
 Bachelor's degree or equivalent in Computer Science, Engineering, Mathematics or related field OR 3-year full-time Software Engineering work experience, WHICH INCLUDES 3-year total technical software engineering experience in one or more of the following areas:
 </li>
 <li>
 Programming language (e.g. C, C++, Java, Python, or Go)
 </li>
 <li>
 Note the 3-year total of specialized software engineering experience may have been gained through education and full-time work experience, additional training, coursework, research, or similar (OR some combination of these). The year of specialized experience is not necessarily in addition to the years of Education &amp; full-time work experience indicated.
 
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 3+ years of technical software engineering experience in one or more of the following areas:
 </li>
 <li>
 Experience with distributed systems or microservice architectures.
 </li>
 <li>
 Experience with relational databases and distributed storage systems (MySQL, Cassandra).
 </li>
 <li>
 Passion for learning new technologies
 </li>
 <li>
 Experience with shipping efficient, reliable, crash-free code that reaches millions of users.
 
 
 </li>
 </ul>
 For San Francisco, CA-based roles: The base salary range for this role is USD$171,000 per year - USD$190,000 per year. For Seattle, WA-based roles: The base salary range for this role is USD$171,000 per year - USD$190,000 per year. For Sunnyvale, CA-based roles: The base salary range for this role is USD$171,000 per year - USD$190,000 per year. For all US locations, you will be eligible to participate in Uber's bonus program, and may be offered an equity award &amp; other types of comp. All full-time employees are eligible to participate in a 401(k) plan. You will also be eligible for various benefits. More details can be found at the following link https://jobs.uber.com/en/benefits., For San Francisco, CA-based roles: The base salary range for this role is USD$171,000 per year - USD$190,000 per year. For Seattle, WA-based roles: The base salary range for this role is USD$171,000 per year - USD$190,000 per year. For Sunnyvale, CA-based roles: The base salary range for this role is USD$171,000 per year - USD$190,000 per year. For all US locations, you will be eligible to participate in Uber's bonus program, and may be offered an equity award &amp; other types of comp. All full-time employees are eligible to participate in a 401(k) plan. You will also be eligible for various benefits. More details can be found at the following link https://jobs.uber.com/en/benefits.
</div>

Software Engineer II, Matching Platform

<div>About the Role
 
 
The Fulfillment platform is the foundation powering the logistics behind fulfilling user orders from any Uber app. It operates life cycles of orders, trips, drivers, eaters, and other user sessions when they interact with Uber. These interactions are real-time and high-scale when millions of concurrent riders, drivers, and eaters are using Uber. We support both Uber Rider businesses (pool, airports, hourly rentals, intercity trips, reservations, package delivery, uber health) and Uber Delivery businesses (groceries, uber eats, delivery API).
 
 
Our tech challenges are in both the business layer (data modeling of complex products, building reusable higher order business APIs to share across products) and the Infrastructure layer (storing high write &amp; transient data, language framework, search &amp; ranking, events &amp; data streaming systems)
 
 
We are looking for a Software Engineer for the Fulfillment Shopping team to help build our next generation of product discovery, planning, and order checkout platforms. Over the next few years, this team will be innovating with new offerings like car rentals, third-party drivers, package deliveries, and reenvisioning the entire shopping and checkout flow for Uber. This is a high-impact role where you will partner with Engineering, Product, and Ops leaders across the company to launch new products as well as improve the overall efficiency of the marketplace.
 
 
You can get a glimpse of the work we do in Fulfillment
 
<ul><li>https://eng.uber.com/fulfillment-platform-rearchitecture/
</li><li>https://eng.uber.com/building-ubers-fulfillment-platform/
</li></ul> 
What the you will do 
<ul><li>
Collaborate in a team environment with significant ownership and autonomy over projects.
</li><li>Work on the next phase of fulfillment and product lines for our 1P, 3P, and SaaS customers, addressing significant organizational-level challenges that impact Uber's operations.
</li><li>Design, develop and deliver high-quality features promptly with accountability.
</li><li>Partner with engineering managers, product managers, and other engineering teams to define project requirements and execution plans.
</li><li>Ensure that system designs, including APIs, architecture, and dependency selection, result in scalable, resilient solutions that minimize support costs and enhance the partner experience.
</li></ul> 
Basic Qualifications 
<ul><li>
A Bachelor's Degree in Computer Science or a related field (or equivalent experience).
</li><li>At least 4+ years of professional experience in software development.
</li><li>Strong understanding of computer science fundamentals, including object-oriented design, data structures, algorithm design, problem-solving, and complexity analysis.
</li><li>Proficient in at least one programming language, such as Golang, Java, C#, or C++.
</li><li>Experience working with distributed systems.
</li>Effective communication skills to interact with engineers, technical teams, and senior management to gather requirements, and describe software product features, technical designs, and product strategy. 
<li>
</li></ul> 
 
Preferred Qualifications 
<ul><li>
MS / Ph.D. in Computer Science or related field.
</li><li>Experience managing production systems with a strong availability SLA.
</li><li>Knowledgeable in software engineering best practices throughout the entire software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations.
</li>Experience working with large-scale distributed systems 
<li>
</li></ul> 
 
For San Francisco, CA-based roles: The base salary range for this role is USD$171,000 per year - USD$190,000 per year. For Sunnyvale, CA-based roles: The base salary range for this role is USD$171,000 per year - USD$190,000 per year. For all US locations, you will be eligible to participate in Uber's bonus program, and may be offered an equity award &amp; other types of comp. All full-time employees are eligible to participate in a 401(k) plan. You will also be eligible for various benefits. More details can be found at the following link https://jobs.uber.com/en/benefits.</div>

Software Engineer - Fulfillment Shopping & Ordering

Plaid

<div>
 We believe that the way people interact with their finances will drastically improve in the next few years. We&rsquo;re dedicated to empowering this transformation by building the tools and experiences that thousands of developers use to create their own products. Plaid powers the tools millions of people rely on to live a healthier financial life. We work with thousands of companies like Venmo, SoFi, several of the Fortune 500, and many of the largest banks to make it easy for people to connect their financial accounts to the apps and services they want to use. Plaid&rsquo;s network covers 12,000 financial institutions across the US, Canada, UK and Europe. Founded in 2013, the company is headquartered in San Francisco with offices in New York, Washington D.C., London and Amsterdam.
 
 
 Plaid&rsquo;s Platform Engineering organization comprises multiple teams focused on core infrastructure, data platforms, storage, privacy, and developer efficiency. Together, these teams ensure that Plaid&rsquo;s technology platform is scalable, reliable, and secure to support our rapid growth. Our infrastructure handles millions of requests per day, and we pride ourselves on maintaining highly robust and performant systems. As a Platform Engineer, you will design, build, and maintain the foundational infrastructure and internal platforms that empower all of Plaid&rsquo;s engineering teams to move quickly and safely. You&rsquo;ll work cross-functionally with product engineering squads to ship new features and ensure operational excellence throughout each product&rsquo;s lifecycle.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Design &amp; Develop Scalable Systems: Build and maintain core platform services with a focus on performance, reliability, and scalability. You will create and evolve distributed backend systems that serve as the bedrock for products used by millions of users.
 </li>
 <li>
 Infrastructure &amp; Data Platforms: Develop and improve infrastructure for data storage and processing &ndash; for example, high-performance databases and modern data processing frameworks &ndash; to handle Plaid&rsquo;s growing data and product needs. Ensure our data infrastructure is robust and can scale effectively.
 </li>
 <li>
 Developer Productivity Tools: Create internal tools, frameworks, and automation to improve developer productivity and efficiency. This includes building CI/CD pipelines, observability and monitoring systems, and self-service infrastructure platforms that enable teams to ship code quickly and safely.
 </li>
 <li>
 Security &amp; Privacy by Design: Integrate security, privacy, and compliance best practices into our platforms (e.g. data encryption, access controls, audit logging) to protect sensitive financial data. Work closely with Security and Privacy teams to ensure our infrastructure and internal services meet high standards for data protection and regulatory compliance.
 </li>
 <li>
 Cross-Team Collaboration: Work hand-in-hand with product engineers and other stakeholders to understand requirements and translate them into reliable platform capabilities. Facilitate smooth integration of platform solutions into various products, and coordinate across teams to resolve issues and deliver new features efficiently.
 </li>
 <li>
 Technical Excellence &amp; Leadership: Uphold high engineering standards through code reviews, testing, and documentation. Take initiative in setting technical direction and architecture for platform systems, and mentor junior engineers to help grow their skills. You will lead by example in driving best practices and continuously improving the quality of our engineering solutions.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 Experience: 2 to 4 years of software engineering experience, with a proven track record of building and shipping complex backend systems or platforms. Experience designing and scaling distributed systems is highly desired.
 </li>
 <li>
 Strong Coding Skills: Proficiency in at least one general-purpose programming language (e.g. Go, Python, Java, C++). Our core services are built largely in Go, so experience with Go is a plus. You write clean, efficient, and maintainable code and have solid computer science fundamentals.
 </li>
 <li>
 Distributed Systems &amp; Problem Solving: Deep understanding of system design and algorithms. Hands-on experience with designing, building, and operating distributed systems or microservices architectures at scale. Ability to debug complex issues in a production environment and optimize system performance and reliability.
 </li>
 <li>
 Data and Databases: Familiarity with relational and NoSQL database technologies (for example, MySQL/TiDB, PostgreSQL, MongoDB) and data storage architectures. Experience building data pipelines or working with big data processing frameworks (Spark, Databricks, etc.) is a plus.
 </li>
 <li>
 Collaboration &amp; Communication: Excellent communication and teamwork skills, with the ability to work effectively in a cross-functional environment. You can collaborate closely with other engineers, product managers, and stakeholders, and you&rsquo;re able to explain complex technical concepts in simple terms when needed.
 
 
 </li>
 </ul>
 $163,200 - $223,200 a year
 
 
 The target base salary for this position ranges from $163,200/year to $223,200/year in San Francisco and New York.
 
 
 The base salary range listed for this full-time position excludes equity and benefits. The pay range shown on each job posting is the minimum and maximum target for new-hire salaries. Actual pay may be higher or lower depending on factors like skills, experience, and relevant education or training.
 
 
 Our mission at Plaid is to unlock financial freedom for everyone. To support that mission, we seek to build a diverse team of driven individuals who care deeply about making the financial ecosystem more equitable. We recognize that strong qualifications can come from both prior work experiences and lived experiences. We encourage you to apply to a role even if your experience doesn't fully match the job description. We are always looking for team members that will bring something unique to Plaid!
 
 
 Plaid is proud to be an equal opportunity employer and values diversity at our company. We do not discriminate based on race, color, national origin, ethnicity, religion or religious belief, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, military or veteran status, disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state, and local laws. Plaid is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance with your application or interviews due to a disability, please let us know at [email protected] .
 
 
 Please review our Candidate Privacy Notice here .
</div>

Software Engineer - Platform

Apple

Imagine what you could do here. At Apple, new ideas have a way of becoming great products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you can accomplish. We are seeking an exceptional engineer with a background in large scale software development and delivery in hyper-scale distributed computing environments. You will work within cybersecurity software engineering team that drives Apache Spark&rsquo;s state-of-the art features and pushes the boundaries of what is possible in our industry. 
 
Description 
 
Apple is seeking an extraordinary individual to work on a team supporting and developing services which underpin mission critical information security capabilities. Spark expertise is a prerequisite. While previous experience in information security is not required, a sincere drive for security and privacy is required. This role will work closely with our engineering teams and with partner teams to ensure the successful design, development, and delivery of product objectives. The successful candidate will have a passion for technical excellence and team collaboration with a heavy focus on using cutting-edge technologies to build data intensive systems, designing and optimizing data models, and collaborating with cross-functional teams to solve complex data challenges. 
 
Preferred Qualifications 
 
5+ years experience in data engineering and demonstrated expertise with data modeling 
 
5+ years of experience with JVM languages: Java or Scala 
 
5+ years experience with big data platforms 
 
Familiarity with ML/AI workflows and feature engineering to support analytics, reporting, and machine learning use cases 
 
Knowledge engineering expertise including semantic models and knowledge graphs 
 
Experience working with cloud compute environments like OpenStack, AWS, and Azure 
 
Experience mentoring engineers, conducting code reviews, and contributing to technical best practices and documentation 
 
Knowledge of data quality frameworks and validation techniques 
 
Knowledge of data governance and compliance frameworks 
 
Minimum Qualifications 
 
Demonstrated expertise in designing and implementing relational and medallion data architectures 
 
Demonstrated expertise in the design and implementation of production data pipelines at scale 
 
Demonstrated proficiency with JVM languages (Scala or Java preferred), Golang, or Swift 
 
Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant . 
 
Pay &amp; Benefits 
 
At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $147,400 and $272,100, and your base pay will depend on your skills, qualifications, experience, and location. 
 
Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan. You'll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits. 
 
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.

Data Engineer

Okta

<div><div>Get to know Okta 
 
Okta is The World's Identity Company. We free everyone to safely use any technology, anywhere, on any device or app. Our flexible and neutral products, Okta Platform and Auth0 Platform, provide secure access, authentication, and automation, placing identity at the core of business security and growth. 
 
At Okta, we celebrate a variety of perspectives and experiences. We are not looking for someone who checks every single box - we're looking for lifelong learners and people who can make us better with their unique experiences. 
 
Join our team! We're building a world where Identity belongs to you.</div><div>
<div>
<h3 class="jobSectionHeader">About the Team</h3>

The Data Platform team is responsible for the foundational data services, systems, and data products for Okta that benefit our users. Today, the Data Platform team solves challenges and enables:
<ul>
<li>Streaming analytics</li>
<li>Interactive end-user reporting</li>
<li>Data and ML platform for Okta to scale</li>
<li>Telemetry of our products and data</li>
</ul>
Our elite team is fast, creative and flexible. We encourage ownership. We expect great things from our engineers and reward them with stimulating new projects, new technologies and the chance to have significant equity in a company. Okta is about to change the cloud computing landscape forever.
<h3 class="jobSectionHeader">
About the Position</h3>

This is an opportunity for experienced Software Engineers to join our fast growing Data Platform organization that is passionate about scaling high volume, low-latency, distributed data-platform services &amp; data products. In this role, you will get to work with engineers throughout the organization to build foundational infrastructure that allows Okta to scale for years to come. As a member of the Data Platform team, you will be responsible for designing, building, and deploying the systems that power our data analytics and ML. Our analytics infrastructure stack sits on top of many modern technologies, including Kinesis, Flink, ElasticSearch, and Snowflake.

We are looking for experienced Software Engineers who can help design and own the building, deploying and optimizing the streaming infrastructure. This project has a directive from engineering leadership to make OKTA a leader in the use of data and machine learning to improve end-user security and to expand that core-competency across the rest of engineering. You will have a sizable impact on the direction, design &amp; implementation of the solutions to these problems.
<h3 class="jobSectionHeader">
Job Duties and Responsibilities:</h3>
<ul><li>Design, implement and own data-intensive, high-performance, scalable platform components</li>
<li>Work with engineering teams, architects and cross functional partners on the development of projects, design, and implementation</li>
<li>Conduct and participate in design reviews, code reviews, analysis, and performance tuning</li>
<li>Coach and mentor engineers to help scale up the engineering organization</li>
<li>Debug production issues across services and multiple levels of the stack</li>
</ul><h3 class="jobSectionHeader">Required Knowledge, Skills, and Abilities:</h3>
<ul><li>8+ years of experience in object-oriented language, preferably Java</li>
<li>Hands-on experience using a cloud-based distributed computing technologies including</li>
<li><ul><li>Messaging systems such as Kinesis, Kafka</li>
<li>Data processing systems like Flink, Spark, Beam</li>
<li>Storage &amp; Compute systems such as Snowflake, Hadoop</li>
<li>Coordinators and schedulers like the ones in Kubernetes, Hadoop, Mesos</li>
</ul></li></ul><ul><li>Experience in developing and tuning highly scalable distributed systems</li>
<li>Excellent grasp of software engineering principles</li>
<li>Solid understanding of multithreading, garbage collection and memory management</li>
<li>Experience with reliability engineering specifically in areas such as data quality, data observability and incident management</li>
</ul><h3 class="jobSectionHeader">Nice to have</h3>
<ul><li>Maintained security, encryption, identity management, or authentication infrastructure</li>
<li>Leveraged major public cloud providers to build mission-critical, high volume services</li>
<li>Hands-on experience in developing Data Integration applications for large scale (petabyte scale) environments with experience in both batch and online systems.</li>
<li>Contributed to the development of distributed systems or used one or more at high volume or criticality such as Kafka or Hadoop</li>
<li>Experience developing Kubernetes based services on AWS Stack</li>
</ul>
Additional requirements:
<ul>
<li>This position requires the ability to access federal environments and/or have access to protected federal data. As a condition of employment for this position, the successful candidate must be able to submit documentation establishing U.S. Person status (e.g. a U.S. Citizen, National, Lawful Permanent Resident, Refugee, or Asylee. 22 CFR 120.15) upon hire.</li>
</ul>
This role will require travel to one of our office locations for in-person onboarding.

#LI-SM1

#LI-Hybrid

P6808_3376756</div></div><div> 
What you can look forward to as a Full-Time Okta employee!
<ul>
<li>Amazing Benefits</li>
<li>Making Social Impact</li>
<li>Developing Talent and Fostering Connection + Community at Okta</li>
</ul>
Some roles may require travel to one of our office locations for in-person onboarding.

Okta is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, marital status, age, physical or mental disability, or status as a protected veteran. We also consider for employment qualified applicants with arrest and convictions records, consistent with applicable laws.
 
 
If reasonable accommodation is needed to complete any part of the job application, interview process, or onboarding please use this Form to request an accommodation. 
 
Notice for New York City Applicants &amp; Employees: Okta may use Automated Employment Decision Tools (AEDT), as defined by New York City Local Law 144, that use artificial intelligence, machine learning, or other automated processes to assist in our recruitment and hiring process. In accordance with NYC Local Law 144, if you are an applicant or employee residing in New York City, please click here to view our full NYC AEDT Notice. 
 
Okta is committed to complying with applicable data privacy and security laws and regulations. For more information, please see our Personnel and Job Candidate Privacy Notice at https://www.okta.com/legal/personnel-policy/.</div></div>

Staff Software Engineer, Data Platform (FedRamp)

J&T Business Consulting

<div><div><div>Company: Confidential Client 
</div><div>Location: San Francisco, CA (Hybrid) 
</div><div>Salary: $240,000 &ndash; $380,000 base + equity + bonus 
</div><div>Recruitment Partner: J&amp;T Recruitment &ndash; Exclusively Retained 
</div>J&amp;T Recruitment has been exclusively retained by a rapidly scaling AI technology company in San Francisco that is building cutting-edge generative AI platforms used by global enterprise clients. 
They are seeking a Senior AI Engineer to design and deploy production-grade machine learning systems and contribute to the architecture of next-generation AI products.<h3 class="jobSectionHeader"> 
Key Responsibilities</h3> 
<ul><li>Design, train, and deploy large-scale machine learning and generative AI models</li> 
<li>Build scalable data pipelines for model training and inference</li> 
<li>Develop production-ready ML services and APIs</li> 
<li>Work closely with product managers and data scientists to translate research into production systems</li> 
<li>Optimize models for performance, cost, and latency</li> 
<li>Contribute to the design of distributed AI infrastructure</li> 
<li>Stay up to date with advancements in LLMs, transformer architectures, and generative AI</li> 
</ul><h3 class="jobSectionHeader">Tech Stack</h3> 
<ul><li>Python</li> 
<li>PyTorch / TensorFlow</li> 
<li>Hugging Face / Transformers</li> 
<li>Kubernetes</li> 
<li>AWS / GCP</li> 
<li>Vector databases</li> 
<li>ML pipelines (Airflow / Kubeflow)</li> 
</ul><h3 class="jobSectionHeader">Requirements</h3> 
<ul><li>5+ years of experience in Machine Learning or AI Engineering</li> 
<li>Strong experience building and deploying ML models to production</li> 
<li>Experience working with LLMs, NLP, or generative AI systems</li> 
<li>Strong programming skills in Python</li> 
<li>Experience with distributed systems and cloud platforms</li> 
</ul><h3 class="jobSectionHeader">Interview Process</h3> 
<div><ul><li>Recruiter Screening (30 minutes) &ndash; Introduction via J&amp;T Recruitment</li></ul> 
<ul><li>Technical Coding Interview (60 minutes) &ndash; Python and ML fundamentals</li></ul> 
<ul><li>Machine Learning System Design (90 minutes) &ndash; Designing scalable ML architecture</li></ul> 
<ul><li>Technical Deep Dive (90 minutes) &ndash; Discussion around previous AI projects</li></ul> 
<ul><li>Final Leadership Interview (45 minutes) &ndash; Cultural and team alignment</li></ul></div></div></div><div></div>

Senior AI Engineer

Hayden AI

<div>
 
 About Us
 
 
 
 At Hayden AI, we are on a mission to harness the power of computer vision to transform the way transit systems and other government agencies address real-world challenges.
 
 
 From bus lane and bus stop enforcement to transportation optimization technologies and beyond, our innovative mobile perception system empowers our clients to accelerate transit, enhance street safety, and drive toward a sustainable future.
 
 
 
 Job Title:
 
 Machine Learning Operations Engineer
 
 
 
 Company:
 
 Hayden AI Technologies, Inc.
 
 
 
 Location:
 
 460 Bryant Street, Suite 100, San Francisco, CA 94107
 
 
 
 Position Duties
 
 
 
 <ul>
 <li>
 Optimize orchestration processes to ensure efficient deployment and management of AI models.
 </li>
 <li>
 Implement cost-saving strategies to minimize infrastructure expenses while maximizing performance.
 </li>
 <li>
 Upgrade throughput to enhance scalability and responsiveness of AI systems.
 </li>
 <li>
 Collaborate with cross-functional teams to identify bottlenecks and implement solutions to improve workflow efficiency.
 </li>
 <li>
 Ship new features and updates rapidly while maintaining high levels of quality and reliability.
 </li>
 <li>
 Deploy and monitor machine learning models produced by deep learning engineers.
 </li>
 <li>
 Design, deploy, and maintain performant and scalable processes for data acquisition and manipulation to enhance dataset accessibility.
 </li>
 <li>
 Participate actively in the team's software development process, including design reviews, code reviews, and brainstorming sessions.
 </li>
 <li>
 Maintain accurate and updated software development documentation.
 
 
 </li>
 </ul>
 
 Degree Requirements
 
 
 
 Bachelor of Science or Engineering degree or a foreign equivalent in Robotics, Machine Learning, Computer Science, Electrical Engineering, Electronics and Telecommunication Engineering, or a related field.
 
 
 
 Experience Requirement
 
 
 
 One (1) year of work experience in the job offered or as a Deep Learning Engineer, Perception Engineer II, MLOps, Research Engineer II, Machine Learning, Computer Vision Intern, or another related deep learning engineer role.
 
 
 
 Other Special Requirements
 
 
 
 <ul>
 <li>
 One (1) year of work experience with all of the following:
 </li>
 <ul>
 <li>
 Deploying real-world applied computer vision (including deep learning models) on edge devices
 </li>
 <li>
 Python programming and software design
 </li>
 <li>
 C++
 </li>
 <li>
 Software development tools and libraries including PyTorch, OpenCV, TensorFlow, MLflow
 </li>
 <li>
 Automated data annotation
 </li>
 <li>
 Distributed training in the cloud
 </li>
 <li>
 Deploying and managing GPU clusters for ML pipelines and workflows
 
 </li>
 </ul>
 </ul>
 
 Rate of Pay:
 
 $135,699.00 to $190,000.00 per year
 
 
 
 Location of Position and Interview:
 
 
 
 Hayden AI Technologies, Inc.
 
 
 460 Bryant Street, Suite 100
 
 
 San Francisco, CA 94107
 
 
 
 Applicants Should Submit Resumes To
 
 
 
 Janet Le-Mcintosh
 
 
 janet.le@hayden.ai
 
 
 Hayden AI Technologies, Inc.
 
 
 460 Bryant Street, Suite 100
 
 
 San Francisco, CA 94107
</div>

Machine Learning Operations Engineer

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